Principal Machine Learning Scientist (Real Estate)

TL;DR

Principal Machine Learning Scientist (Real Estate): Designing and delivering predictive and forecasting solutions for property intelligence datasets with an accent on feature engineering, statistical modeling, and large-scale data analysis. Focus on developing advanced machine learning models, solving complex problems in real estate data, and providing technical leadership across data science projects.

Location: Remote within the United States; the role is associated with Dallas, Texas.

Salary: $134,400–$190,000 annually.

Company

hirify.global provides property intelligence, data, and analytics solutions for the real estate and mortgage industries.

What you will do

• Design and develop predictive, forecasting, rule-based, and algorithmic models for real estate and property data.
• Create data derivation and linkage algorithms, select predictive features, and prepare datasets for model development.
• Build and train supervised and unsupervised models, including clustering, regression, deep learning, support vector machines, and boosting methods.
• Perform complex analysis on large property and consumer datasets using Python, SQL, BigQuery, DataPrep, Jupyter Notebook, and related tools.
• Document models, prepare performance reports, and communicate research findings to internal and external stakeholders.
• Provide consulting and technical leadership to data scientists, data engineers, data analysts, and data technology teams.

Requirements

• Master’s degree or higher in economics, artificial intelligence, data science, computer science, mathematics, statistics, engineering, or equivalent experience.
• At least 7 years of directly related experience.
• Strong knowledge of statistical techniques, data mining, data analysis, and multiple analytical, programming, statistical, and big data tools.
• Experience with Python, SQL, cloud platforms such as AWS or GCP, cloud-based sandboxes, and analytics libraries.
• Strong problem-solving, analytical, communication, collaboration, and business skills.
• Ability to lead small technical project teams and work with cross-functional business units; real estate or mortgage data experience is advantageous.

Nice to have

• Experience in the real estate and mortgage-related data industry.
• Patents or publications in data science.

Culture & Benefits

• Flexible working model with a collaborative and inclusive work environment.
• Generous paid time off, 11 paid holidays, well-being time, and volunteer time off.
• Up to 16 weeks of fully paid parental leave and a baby stipend.
• Medical plan options with mental health and wellness support.
• 401(k) with company match, a $400 annual well-being stipend, and tuition assistance of up to $5,250.